The Aleatoric Milieu: An Architectural Theory on Proxemics and Navigation Design

The Aleatoric Milieu is an architectural theory that combines the space people require to feel at ease and natural wayfinding. By investigating how buildings and cities naturally possess or have been observed to develop ways to accommodate such considerations, we can learn how to create buildings that are hospitable to their communities. The Aleatoric Milieu provides a tool for spatial design that incorporates user-friendly spaces in cities and buildings. The theory strives to foster healthy transitions between inter-personal dynamics while intuitively connecting people to services a building provides, establishing an accessible environment. In order to design for cities and buildings that consist of a hospitable design language, how the human body and its receptors interact with others is used to analyze dimensions of public, social and personal scale. To navigate these transitions in their application to the purpose of city and building infrastructure – be it retail, parks, monuments, or an information kiosk – requires a narration of space. Navigation design provides a spatial narration of space using an interconnected concept distilled into the narthex, path, and node. Narthex refers to an initial location of first impressions, informing users of a node and allowing for decisions to continue on a path to the node. The path refers to a recurring architectural treatment that edifies the node – the point of architectural interest, purpose or necessity. Therefore, the Aleatoric Milieu consists of two main parts: proxemics and navigation design with a third organizing factor. Natural city development principles are used to link proxemics with navigation design to arrive at an architectural language that coincides with the development of cities. The greatest density exists in the public sphere, and the least dense travels the proxemic scale to increased privacy and vice versa through the principles of navigation design. Thus, the Aleatoric Milieu can be applied to strategies for design in specific proxemics at the end of chapter three. These principles are visible in museums, as they are institutions that functions as miniature cities – they are the holding place of culture, ideas, or objects that exemplify a city. As such, in this paper, museums are used as case studies to examine the success or obstacles to hospitality through an analysis that uses the Aleatoric Milieu. Finally, to illustrate a sequence of nodes, a museum design demonstrates a strategy of the Aleatoric Milieu that includes navigation design and proxemics. It is tested against a series of scenarios to accommodate the proxemics of “non-contact middle-class adults” with the addition of child-care supervision standards of Ontario, Canada. The Aleatoric Milieu design theory ultimately strives to arrive at an architectural framework that creates inclusive space. Implementing these design considerations can produce concurrent buildings that welcomes and attracts its users, while naturally fostering a sense of community over time

The Influence of Electron Beam Sterilization on In Vivo Degradation of β-TCP/PCL of Different Composite Ratios for Bone Tissue Engineering.

We evaluated the effect of electron beam (E-beam) sterilization (25 kGy, ISO 11137) on the degradation of β-tricalcium phosphate/polycaprolactone (β-TCP/PCL) composite filaments of various ratios (0:100, 20:80, 40:60, and 60:40 TCP:PCL by mass) in a rat subcutaneous model for 24 weeks. Volumes of the samples before implantation and after explantation were measured using micro-computed tomography (micro-CT). The filament volume changes before sacrifice were also measured using a live micro-CT. In our micro-CT analyses, there was no significant difference in volume change between the E-beam treated groups and non-E-beam treated groups of the same β-TCP to PCL ratios, except for the 0% β-TCP group. However, the average volume reduction differences between the E-beam and non-E-beam groups in the same-ratio samples were 0.76% (0% TCP), 3.30% (20% TCP), 4.65% (40% TCP), and 3.67% (60% TCP). The E-beam samples generally had more volume reduction in all experimental groups. Therefore, E-beam treatment may accelerate degradation. In our live micro-CT analyses, most volume reduction arose in the first four weeks after implantation and slowed between 4 and 20 weeks in all groups. E-beam groups showed greater volume reduction at every time point, which is consistent with the results by micro-CT analysis. Histology results suggest the biocompatibility of TCP/PCL composite filaments

Monitoring and prediction of particulate matter (PM2.5 and PM10) around the IPBeja Campus

Nowadays, most of the world’s population lives in urban centers, where air quality stand- 12 ards are not strictly observed; citizens are exposed to air quality levels over the limits of the World 13 Health Organization. The interaction between the issuing and atmospheric sources influences the 14 air quality or level. The local climatic conditions (temperature, humidity, winds, rainfall) determine 15 a greater or less dispersion of the pollutants present. In this sense, this work aimed to build a math 16 modelling prediction to monitor the air quality around the campus of IPBeja, which is in the vicinity 17 of a car traffic zone. The study analyzed the data from the last months, particulate matter (PM10 18 and PM2.5), and meteorological parameters for prediction using NARX. The device contains a par- 19 ticle sensor (NOVA SDS011), a microcontroller ESP8266 NodeMCU v3, a temperature sensor, hu- 20 midity, pressure BME280, and a suction tube. The results show a considerable increase in particles 21 in occasional periods, reaching average values of 135 μg/m3 for PM10 and 52 μg/m3 for PM2.5. 22 Thus, the monitoring and prediction serve as a warning to perceive these changes and be able to 23 relate them to natural phenomena or issuing sources in specific cases

`Candidatus Liberibacter asiaticus´ titers in citrus and acquisition rates by Diaphorina citri are decreased by higher temperature

`Candidatus Liberibacter asiaticus´ is the most prevalent Liberibacter sp. associated with huanglongbing (HLB) in Brazil. Within São Paulo state (SP), HLB has spread more rapidly to and reached higher incidence in regions with relatively mild (cooler) summer temperatures. This suggests that climate can influence disease spread and severity. ?Ca. L. asiaticus? titers on soft, immature leaves from infected ?Valencia? sweet orange plants exposed to different temperature regimes and adult Diaphorina citri fed for 48 h on these plants for ?Ca. L. asiaticus? acquisition were determined by quantitative polymerase chain reaction in two experiments. The first experiment included plants with three levels of infection, three incubation periods (IPs), and air temperatures favorable (14.6 to 28°C) and unfavorable (24 to 38°C) to ?Ca. L. asiaticus?. The second included plants with severe late-stage infections, 10 IPs (based on 3-day intervals over 27 days), and three air temperature regimes (12 to 24, 18 to 30, and 24 to 38°C). Overall, ?Ca. L. asiaticus? titers and the percentages of ?Ca. L. asiaticus?-positive psyllids were lower in plants maintained at the warmer temperature regime (24 to 38°C) than in plants maintained in the cooler regimes. The results suggest that the lower incidence and slower spread of ?Ca. L. asiaticus? to warmer regions of SP are related to the influence of ambient temperatures on titers of ?Ca. L. asiaticus? in leaves

Erratum to: Preclinical activity of gefitinib in non-keratinizing nasopharyngeal carcinoma cell lines and biomarkers of response

published_or_final_versionSpringer Open Choice, 01 Dec 201

The impact of early factors on persistent negative symptoms in youth at clinical high risk for psychosis

IntroductionPersistent negative symptoms (PNS) are described as continuing moderate negative symptoms. More severe negative symptoms have been associated with poor premorbid functioning in both chronic schizophrenia and first episode psychosis patients. Furthermore, youth at clinical high risk (CHR) for developing psychosis may also present with negative symptoms and poor premorbid functioning. The aim of this current study was to: (1) define the relationship between PNS and premorbid functioning, life events, trauma and bullying, previous cannabis use, and resource utilization, and (2) to examine what explanatory variables best predicted PNS.MethodCHR participants (N = 709) were recruited from the North American Prodrome Longitudinal Study (NAPLS 2). Participants were divided into two groups: those with PNS (n = 67) versus those without PNS (n = 673). A K-means cluster analysis was conducted to distinguish patterns of premorbid functioning across the different developmental stages. The relationships between premorbid adjustment and other variables were examined using independent samples t-tests or chi square for categorical variables.ResultsThere was significantly more males in the PNS group. Participants with PNS had significantly lower levels of premorbid adjustment in childhood, early adolescence, and late adolescence, compared to CHR participants without PNS. There were no differences between the groups in terms of trauma, bullying, and resource utilization. The non-PNS group had more cannabis use and more desirable and non-desirable life events.ConclusionIn terms of better understanding relationships between early factors and PNS, a prominent factor associated with PNS was premorbid functioning, in particular poor premorbid functioning in later adolescence

Interpretable surface-based detection of focal cortical dysplasias:a Multi-centre Epilepsy Lesion Detection study

One outstanding challenge for machine learning in diagnostic biomedical imaging is algorithm interpretability. A key application is the identification of subtle epileptogenic focal cortical dysplasias (FCDs) from structural MRI. FCDs are difficult to visualize on structural MRI but are often amenable to surgical resection. We aimed to develop an open-source, interpretable, surface-based machine-learning algorithm to automatically identify FCDs on heterogeneous structural MRI data from epilepsy surgery centres worldwide. The Multi-centre Epilepsy Lesion Detection (MELD) Project collated and harmonized a retrospective MRI cohort of 1015 participants, 618 patients with focal FCD-related epilepsy and 397 controls, from 22 epilepsy centres worldwide. We created a neural network for FCD detection based on 33 surface-based features. The network was trained and cross-validated on 50% of the total cohort and tested on the remaining 50% as well as on 2 independent test sites. Multidimensional feature analysis and integrated gradient saliencies were used to interrogate network performance. Our pipeline outputs individual patient reports, which identify the location of predicted lesions, alongside their imaging features and relative saliency to the classifier. On a restricted 'gold-standard' subcohort of seizure-free patients with FCD type IIB who had T1 and fluid-attenuated inversion recovery MRI data, the MELD FCD surface-based algorithm had a sensitivity of 85%. Across the entire withheld test cohort the sensitivity was 59% and specificity was 54%. After including a border zone around lesions, to account for uncertainty around the borders of manually delineated lesion masks, the sensitivity was 67%. This multicentre, multinational study with open access protocols and code has developed a robust and interpretable machine-learning algorithm for automated detection of focal cortical dysplasias, giving physicians greater confidence in the identification of subtle MRI lesions in individuals with epilepsy

Event-based modelling in temporal lobe epilepsy demonstrates progressive atrophy from cross-sectional data

OBJECTIVE: Recent work has shown that people with common epilepsies have characteristic patterns of cortical thinning, and that these changes may be progressive over time. Leveraging a large multi-centre cross-sectional cohort, we investigated whether regional morphometric changes occur in a sequential manner, and whether these changes in people with mesial temporal lobe epilepsy and hippocampal sclerosis (MTLE-HS) correlate with clinical features. METHODS: We extracted regional measures of cortical thickness, surface area and subcortical brain volumes from T1-weighted (T1W) MRI scans collected by the ENIGMA-Epilepsy consortium, comprising 804 people with MTLE-HS and 1,625 healthy controls from 25 centres. Features with a moderate case-control effect size (Cohen's d≥0.5) were used to train an Event-Based Model (EBM), which estimates a sequence of disease-specific biomarker changes from cross-sectional data and assigns a biomarker-based fine-grained disease stage to individual patients. We tested for associations between EBM disease stage and duration of epilepsy, age of onset and anti-seizure medicine (ASM) resistance. RESULTS: In MTLE-HS, decrease in ipsilateral hippocampal volume along with increased asymmetry in hippocampal volume was followed by reduced thickness in neocortical regions, reduction in ipsilateral thalamus volume and, finally, increase in ipsilateral lateral ventricle volume. EBM stage was correlated to duration of illness (Spearman's ρ=0.293, p=7.03x10-16 ), age of onset (ρ=-0.18, p=9.82x10-7 ) and ASM resistance (AUC=0.59, p=0.043, Mann-Whitney U test). However, associations were driven by cases assigned to EBM stage zero, which represents MTLE-HS with mild or non-detectable abnormality on T1W MRI. SIGNIFICANCE: From cross-sectional MRI, we reconstructed a disease progression model that highlights a sequence of MRI changes that aligns with previous longitudinal studies. This model could be used to stage MTLE-HS subjects in other cohorts and help establish connections between imaging-based progression staging and clinical features